A pragmatic parallel cluster-randomized trial to evaluate the implementation and effectiveness of optimized electronic monitors in improving tuberculosis patients’ treatment adherence in China: study protocol
Front Public Health. 2025 Dec 15;13:1619461. doi: 10.3389/fpubh.2025.1619461. eCollection 2025. ABSTRACT BACKGROUND: Treatment non-adherence poses a serious risk to survival and hinders the improvement of tuberculosis (TB) control effectiveness in Inner Mongolia, China. To improve treatment adherence and health outcomes in Inner Mongolia, this study aims to maximize the impact of an electronic monitor and […]
Effectiveness of Digital Interventions for Low-Income, Food-Insecure Populations: Natural Language Processing Study of WIC Smartphone App User Reviews, 2013-2024
J Med Internet Res. 2025 Dec 31;27:e78984. doi: 10.2196/78984. ABSTRACT BACKGROUND: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a federal nutrition assistance program for low-income, food-insecure mothers and young children in the United States. Despite its intended goals, many eligible individuals forgo WIC benefits, in part due to administrative burden-defined […]
Ghana Heart Initiative Training for Cardiac Arrest Management Among Health Care Professionals: Outcomes Evaluation Study (2019-2024)
JMIR Form Res. 2025 Dec 31;9:e75536. doi: 10.2196/75536. ABSTRACT BACKGROUND: Health care professionals must stay updated with the latest guidelines for basic life support (BLS) and advanced cardiac life support (ACLS) to effectively assist patients during cardiac emergencies. Since its launch in 2018, the Ghana Heart Initiative has significantly enhanced the skills and knowledge of […]
Machine Learning-Based Prediction of Subsyndromal Delirium in Intensive Care Patients
Am J Crit Care. 2026 Jan 1;35(1):20-31. doi: 10.4037/ajcc2026815. ABSTRACT BACKGROUND: Subsyndromal delirium is common in intensive care unit (ICU) patients and can prolong hospital stay, increase costs, and worsen prognosis. Advance intervention to prevent subsyndromal delirium would be valuable. OBJECTIVE: To construct a machine learning-based model to predict the risk of subsyndromal delirium in […]
NIOSH sound level meter application as an adjunct in noise measurement in manufacturing industry
Sci Rep. 2025 Dec 29;15(1):44781. doi: 10.1038/s41598-025-29111-1. ABSTRACT Mobile sound level applications have been proposed as potential adjuncts for conventional sound level meters (SLM) in noise measurement. However, their performance remains uncertain in the manufacturing industry setting. This study was aimed to determine the validity, reliability, and agreement of the NIOSH SLM app in measuring […]
Collaborative Artificial Intelligence in Acute Ischemic Stroke Diagnosis and Management
Acute ischemic stroke (AIS) is a major cause of mortality and long-term disability globally. It requires rapid and accurate diagnosis and timely treatment to reduce irreversible brain damage and improve patient outcomes. In recent years, artificial intelligence (AI) has shown promising support in AIS diagnosis and management, particularly through analysis of medical imaging and clinical […]
Smartphone overuse and its impact on musculoskeletal pain in the neck and wrists/hands in medical and nursing undergraduate students: a cross-sectional study
Sci Rep. 2025 Dec 29;15(1):44945. doi: 10.1038/s41598-025-29317-3. ABSTRACT The number of smartphone users is growing exponentially, and the pervasive use of smartphones is leading to escalated smartphone addiction. Young adults, especially medical students, are more prone to use smartphones for longer hours for educational purposes in addition to communication and social networking. Thus, this vulnerable […]
MyPainPal, a Novel mHealth App to Improve Pain in Patients With Advanced Cancer: Single-Arm Pilot Study
JMIR Cancer. 2025 Dec 30;11:e79942. doi: 10.2196/79942. ABSTRACT BACKGROUND: Pain is common among patients with advanced cancer and is often inadequately controlled. Opioids are central to treatment; yet, self-management is challenging, and clinicians lack scalable tools to monitor and support patients between visits. OBJECTIVE: This study aimed to evaluate the feasibility and acceptability of MyPainPal […]
Feasibility and Usability of an mHealth App (mLab+) to Guide Users Through HIV and Syphilis Self-Testing: Pilot Randomized Controlled Trial
JMIR Form Res. 2025 Dec 30;9:e72955. doi: 10.2196/72955. ABSTRACT BACKGROUND: HIV self-testing is an important strategy in the US Ending the HIV Epidemic initiative. To facilitate uptake of self-testing, we developed the mLab app, which complements existing self-test options to support the potential for higher uptake of the HIV self-test. Syphilis, a sexually transmitted infection […]
Unlocking the key requirements and capabilities for a training app on surgical tools and operating room equipment
BMC Surg. 2025 Dec 29;25(1):597. doi: 10.1186/s12893-025-03327-4. ABSTRACT OBJECTIVES: This study was conducted with the aim of extracting data elements and analyzing the design and development requirements of a mobile-based training app for general surgical tools and Operating Room (OR) equipment for OR students. METHODS AND MATERIAL: In the initial phase of the study, essential […]
